A two-stage frequency-domain blind source separation method for underdetermined convolutive mixtures

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Volumn , Issue , 2007, Pages 139-142

  Sawada, Hiroshi ^a   Araki, Shoko ^a   Makino, Shoji ^a  

^a NTT Communication Science Laboratories   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTICS; AUDIO ACOUSTICS; BINS; FLOW OF SOLIDS; ISOMERS; MICROPHONES; MIXTURES; SEPARATION; SIGNAL PROCESSING; STAGES;

BLIND SEPARATION; CONVOLUTIVE MIXTURES; FREQUENCY BINS; FREQUENCY DOMAINS; GAUSSIAN MIXTURE MODEL; OF SENSORS; ON TIME; POSTERIOR PROBABILITIES; SIGNAL ENVELOPE; SOURCE SEPARATION; TIME-FREQUENCY MASKING; TWO STAGES; TWO-STAGE METHODS;

BLIND SOURCE SEPARATION;

EID: 50249118229     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASPAA.2007.4393012     Document Type: Conference Paper

References (11)

1. S. Haykin, Ed., Unsupervised Adaptive Filtering (Volume I: Blind Source Separation). John Wiley & Sons, 2000.
2. A. Hyvärinen, J. Karhunen, and E. Oja, Independent Component Analysis. John Wiley & Sons, 2001.
3. O. Yilmaz and S. Rickard, "Blind separation of speech mixtures via time-frequency masking," IEEE Trans. Signal Processing, vol. 52, no. 7, pp. 1830-1847, July 2004.
4. M. Mandel, D. Ellis, and T. Jebara, "An EM algorithm for localizing multiple sound sources in reverberant environments," in Advances in Neural Information Processing Systems 19, B. Schölkopf. J. Platt, and T. Hoffman, Eds. Cambridge, MA: MIT Press, 2007.
5. S. Araki, H. Sawada, R. Mukai, and S. Makino, "Underdetermined blind sparse source separation for arbitrarily arranged multiple sensors," Signal Process., vol. 87, no. 8, pp. 1833-1847, 2007.
6. P. D. O'Grady and B. A. Pearlmutter, "Soft-LOST: EM on a mixture of oriented lines." in Proc. ICA 2004 (LNCS 3195). Springer, Sept. 2004, pp. 430-436.
7. S. Winter, W. Kcllermann, H. Sawada, and S. Makino, "MAP based underdetermined blind source separation of convolutive mixtures by hierarchical clustering and L1-norm minimization," EURASIP Journal on Advances in Signal Processing. 2007, Article ID 24717.
8. N. Murata, S. Ikeda, and A. Ziehe. "An approach to blind source separation based on temporal structure of speech signals," Neurocomputing, vol. 41, no. 1-4, pp. 1-24, Oct. 2001.
9. H. Sawada, R. Mukai, S. Araki, and S. Makino, "A robust and precise method for solving the permutation problem of frequency-domain blind source separation," IEEE Trans. Speech Audio Processing, vol. 12, no. 5, pp. 530-538, Sept. 2004.
10. H. Sawada, S. Araki, and S. Makino, "Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain BSS," in Proc. ISCAS 2007, 2007, pp. 3247-3250.
11. [Online], http://www.kecl.ntt.co.jp/icl/signal/sawada/demo/ubssconv/